Which model is better: Claude 4 Opus or OpenAI o3-mini?
OpenAI o3-mini is 92.7% cheaper for input tokens ($1.10 vs. $15.00 per 1M tokens) and $4.40 vs. $75.00 for output tokens (13.6x cost advantage). In terms of operational performance, Claude 4 Opus delivers lower response latency at 920ms TTFT (30ms faster than OpenAI o3-mini) with 46 vs. 98 tok/s throughput. Claude 4 Opus leads coding evaluations at 77.2% SWE-bench Verified vs. 49.3% for OpenAI o3-mini and 87.1% vs. 79.7% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension
Claude 4 Opus
OpenAI o3-mini
Net Delta / Advantage
Input Cost / 1M Tokens
$15.00
$1.10
OpenAI o3-mini is 13.6x cheaper
Output Cost / 1M Tokens
$75.00
$4.40
OpenAI o3-mini (94.1% lower)
Prompt Cache Read / 1M
$1.500
$0.550
OpenAI o3-mini is 2.7x cheaper
Prompt Cache Write / 1M
$18.75
$1.10
OpenAI o3-mini is 17.0x cheaper
Context Window (Max Output)
205k (64k out)
205k (100k out)
Equal Context Window
Avg TTFT Response Latency
920ms
950ms
Claude 4 Opus (30ms faster)
Generation Speed (Throughput)
46 tok/s
98 tok/s
OpenAI o3-mini (+52 tok/s faster)
SWE-bench Verified (Coding)
77.2%
49.3%
Claude 4 Opus (+27.9% lead)
GPQA Diamond (PhD STEM)
87.1%
79.7%
Claude 4 Opus (+7.4% lead)
MMLU-Pro (Multi-Discipline)
91.8%
83.2%
Claude 4 Opus (+8.6% lead)
MATH-500 (Quantitative Logic)
98.1%
97.9%
Claude 4 Opus (+0.2% lead)
Inference Value Score (IVR)
43.6 / 100
59.7 / 100
OpenAI o3-mini (+16.1 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
Which is cheaper: Claude 4 Opus or OpenAI o3-mini?
OpenAI o3-mini is cheaper at $1.10/1M input tokens ($4.40/1M output) compared to $15.00/1M input ($75.00/1M output) for Claude 4 Opus.
Which model has lower TTFT latency and higher tok/s throughput: Claude 4 Opus or OpenAI o3-mini?
Claude 4 Opus delivers faster first-token latency at 920ms TTFT (46 tok/s throughput) compared to 950ms TTFT (98 tok/s) for OpenAI o3-mini.
How do Claude 4 Opus and OpenAI o3-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 4 Opus scores 77.2% versus 49.3% for OpenAI o3-mini. On GPQA Diamond graduate-level STEM reasoning, Claude 4 Opus scores 87.1% versus 79.7% for OpenAI o3-mini (and 98.1% vs 97.9% on MATH-500).
When should you choose Claude 4 Opus?
Choose Claude 4 Opus (Anthropic) for mission-critical R&D, long-horizon autonomous coding tasks, complex theorem proving, and executive strategic synthesis — offering a 204k context window, 920ms TTFT, and $15.00/1M input pricing ($1.500/1M cached reads).
When should you choose OpenAI o3-mini?
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
